Provectus
SA practice - Pavel Borobov
Data/MLSolutionArchitect(GenAI,AWS)
Neural analysis suggests this role is
optimal for Senior candidates.
“Data/ ML Solution Architect (GenAI, AWS) at Provectus. Skills: Data Architecture, ML Architecture, GenAI, AWS, Big Data, Cloud Platforms. designing, planning, and implementing scalable, cloud-based, and on-premise data and ML architectures and backend services. collaborating with internal teams, clients, and stakeholders to build state-of-the-art solutions across Big Data, machine learning, and real-time analytics environments”
What You'll Achieve.
optimizing customer KPIs; delivering measurable business value
Industry & Context.
Excellent problem-solving skills
What They're Looking For.
Must Have
7+ years of experience in solutions architecture, with a focus on Big Data and cloud platforms (AWS, GCP, Azure), Excellent communication and problem-solving skills, with the ability to work across multiple projects and the ability to articulate complex technical concepts to both technical and non-technical audiences, Technical sales or pre-sales experience with cloud and big data, and ML solutions, leadership and team collaboration abilities, Strategic thinking with a focus on delivering measurable business value, Proven ability to build relationships with customers and act as a trusted advisor, Proficiency in data engineering and analytics, designing data pipelines and architectures using AWS, GCP, or Azure data stack, understanding of AI/ML concepts and experience integrating AI/ML components into solutions, Proven experience with data lakes, data warehouses, and real-time data analytics, Proven experience with microservice architecture and containerized deployment options, Hands-on experience with Kubernetes, Docker, and containerized applications, Proficiency in any of backend backend-related languages: TS, Java, Python, and others, Solid understanding of machine learning and MLOps tools (PyTorch, SageMaker, MLFlow), Demonstrated ability to lead and mentor cross-functional teams, Familiarity with agile methodologies
Nice to Have
Experience in Generative AI implementations, Proficiency with graph databases (Neo4j, AWS Neptune), Knowledge of data mesh principles and data contracts, Operational knowledge of infrastructure deployment tools like AWS CDK, CloudFormation, and Terraform
What You'll Do.
and implementing scalable
and on-premise data and ML architectures and backend services
collaborating with internal teams
and stakeholders to build state-of-the-art solutions across Big Data
and real-time analytics environments
delivering high-quality
innovative solutions while adhering to best practices in architecture
providing strategic technical leadership on complex
high-impact customer engagements
designing advanced technical solutions
managing technical risks
optimizing customer KPIs
mentoring other architects and technical leaders
Lead the design and implementation of data and AI/ML architecture solutions across cloud and on-premise platforms
Lead complex customer engagements
providing strategic technical vision and aligning solutions with customer business goals
Define and execute data lifecycle processes: ingestion
Ensure solutions adhere to security
and architecture frameworks (e. g.
GCP Architecture Framework)
Lead cross-functional teams
providing mentorship and guidance to technical talent
Design and execute proofs of concept for emerging technologies like Generative AI
Drive backend/ML services best practices for scalable and maintainable solutions
Oversee data governance and data quality processes across platforms
Stay updated with the latest technology trends and continuously improve the architecture strategy
How You'll Work.
Team & Collaboration
collaborate with internal teams, clients, and stakeholders; Lead cross-functional teams; team collaboration abilities
Communication Scope
Excellent communication skills; ability to articulate complex technical concepts to both technical and non-technical audiences
Full Job Description
## Description Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses. With offices in North America, LATAM, and EMEA, Provectus partners with clients around the world and is obsessed with leveraging cloud, data, and AI to reimagine the way clients operate & compete. Position Summary: - As a Solutions Architect, you will be responsible for designing, planning, and implementing scalable, cloud-based, and on-premise data and ML architectures and backend services. - You will collaborate with internal teams, clients, and stakeholders to build state-of-the-art solutions across Big Data, machine learning, and real-time analytics environments. - Your role will focus on delivering high-quality, innovative solutions while adhering to best practices in architecture, security, and compliance. - As a Solutions Architect, you will provide strategic technical leadership on complex, high-impact customer engagements. You will design advanced technical solutions, manage technical risks, and collaborate with cross-functional teams to ensure successful solution delivery. - Your role will involve driving innovation, optimizing customer KPIs, and mentoring other architects and technical leaders. ## Responsibilities Lead the design and implementation of data and AI/ML architecture solutions across cloud and on-premise platforms. Lead complex customer engagements, providing strategic technical vision and aligning solutions with customer business goals. Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor. Lead technical workshops, training sessions, and prese
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